Q8Y6X2 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiegokrxzgfoakijmqdq73fm2fjsrlebp554omxpdc3etpx2gnzm2m/metadata.json
IPFS of structure file: 
bafybeiekj3we7hvcvn7qkuqxkp7jl4rwsyu6gzeb6ai6an5npqqaf63jyu/AF-Q8Y6X2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3Abe1980007F3787fAfC5f8C1F4951B45508443D
First NFT owner address (bech32): 
genesis182lpnqqq0umc07hut7xp7j23k32ss3panncd5g
Current NFT ID #454418 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454418
Accession (UniProt):
Q8Y6X2
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
LISTERIA MONOCYTOGENES SEROVAR 1/2A (STRAIN ATCC BAA-679 / EGD-E)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q8Y6X2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8Y6X2|SYT_LISMO Threonine--tRNA ligase OS=Listeria monocytogenes serovar 1/2a (strain ATCC BAA-679 / EGD-e) OX=169963 GN=thrS PE=3 SV=1 MKITFPDGAVKEFEPGVSTADIAASISPGLKKKALAGKLNGELLDLVTPIHEDGAIEIVTPDHEDALGILRHSTAHLMAQALKRLYPDVKFGVGPAIESGFYYDIDTEAVISDESLVEIEKEMQKIVRENVPIEREVVSREEAIKRFKAIGDQYKLELIEAIPEDETVTIYTQGEFFDLCRGVHVPSTGKIQVFKLLSVAGAYWRGDSNNKMLQRIYGTAFFDKNGLKEFIQMQKEAKERDHRKLGKELELFTNSIEVGQGLPLWLPKGATIRRVIERYIVDKEERLGYNHVYTPIMANVELYKTSGHWDHYHEDMFPTMKMDNEELVLRPMNCPHHMMIYKNDIHSYRELPIRIAELGMMHRYEMSGALSGLQRVRGMTLNDAHVFVRPDQIKDEFKRVVELILEVYKDFDITDYSFRLSYRDPKNTEKYFDDDAMWEKAQAMLKSAMDEMEMDYFEAEGEAAFYGPKLDVQVKTAIGKEETLSTVQLDFLLPERFDLTYIGEDGEKHRPVVIHRGVVSTMERFVAYLIEEYKGAFPTWLAPVQMEIIPVNADAHLDYAKGVQDKLQRAGLRAEVDDRNEKLGYKIREAQTKKIPYALVLGDQEVEAGSVNVRRYGSKDSETMDLDAFIAQVVAEVSKY